/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.wuhuahe.learning.flink.scala.batch.clustering;

/**
 * Provides the default data sets used for the K-Means example program.
 * The default data sets are used, if no parameters are given to the program.
 */
public class KMeansData {

    // We have the data as object arrays so that we can also generate Scala Data Sources from it.
    public static final Object[][] CENTROIDS = new Object[][]{
            new Object[]{1, -31.85, -44.77},
            new Object[]{2, 35.16, 17.46},
            new Object[]{3, -5.16, 21.93},
            new Object[]{4, -24.06, 6.81}
    };

    public static final Object[][] POINTS = new Object[][]{
            new Object[]{-14.22, -48.01},
            new Object[]{-22.78, 37.10},
            new Object[]{56.18, -42.99},
            new Object[]{35.04, 50.29},
            new Object[]{-9.53, -46.26},
            new Object[]{-34.35, 48.25},
            new Object[]{55.82, -57.49},
            new Object[]{21.03, 54.64},
            new Object[]{-13.63, -42.26},
            new Object[]{-36.57, 32.63},
            new Object[]{50.65, -52.40},
            new Object[]{24.48, 34.04},
            new Object[]{-2.69, -36.02},
            new Object[]{-38.80, 36.58},
            new Object[]{24.00, -53.74},
            new Object[]{32.41, 24.96},
            new Object[]{-4.32, -56.92},
            new Object[]{-22.68, 29.42},
            new Object[]{59.02, -39.56},
            new Object[]{24.47, 45.07},
            new Object[]{5.23, -41.20},
            new Object[]{-23.00, 38.15},
            new Object[]{44.55, -51.50},
            new Object[]{14.62, 59.06},
            new Object[]{7.41, -56.05},
            new Object[]{-26.63, 28.97},
            new Object[]{47.37, -44.72},
            new Object[]{29.07, 51.06},
            new Object[]{0.59, -31.89},
            new Object[]{-39.09, 20.78},
            new Object[]{42.97, -48.98},
            new Object[]{34.36, 49.08},
            new Object[]{-21.91, -49.01},
            new Object[]{-46.68, 46.04},
            new Object[]{48.52, -43.67},
            new Object[]{30.05, 49.25},
            new Object[]{4.03, -43.56},
            new Object[]{-37.85, 41.72},
            new Object[]{38.24, -48.32},
            new Object[]{20.83, 57.85}
    };

}
